Bridge dynamic load testing method based on neural network technology
A neural network and neural network model technology, which is applied in the field of dynamic load response testing and bridge dynamic performance evaluation, can solve the problems of non-universality, high test cost, insufficient precision, etc., to achieve accurate and reliable test results, and reduce the number of sports car tests. The number of times, the effect of reducing structural damage
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
Embodiment Construction
[0028] The main process of the realization scheme of the present invention is specifically as follows (see figure 1 ):
[0029] 1) Statistically analyze a large number of existing dynamic load test data of bridge structures to determine the parameters affecting dynamic load response, such as vehicle speed, bridge span, bridge type, section geometric parameters, design reference period, service life, environmental factors, etc.;
[0030] 2) The dynamic load response influence parameters of the bridge structure are used as the input layer of the neural network, and the dynamic load response at different vehicle speeds is used as the output layer to construct a neural network model. The input layer of the neural network algorithm model has n neurons element x, x∈(x 1 , x 2 x n ), the hidden layer has d neurons h, h∈(h 1 , h 2 L h d ), the output layer has m neurons y, y∈(y 1 ,y 2L y m ). The weights and thresholds between the input layer and the hidden layer are w ij a...
PUM
Abstract
Description
Claims
Application Information
- R&D Engineer
- R&D Manager
- IP Professional
- Industry Leading Data Capabilities
- Powerful AI technology
- Patent DNA Extraction
Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.
© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com